Cutting-Edge Solutions Jobs in San Francisco, CA

489,103 open positions · Updated daily

Looking for Cutting-Edge Solutions jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Cutting-Edge Solutions position in the San Francisco, CA area.

Tool and Die Maker - Manual Machinist (4992)

Company: Boeing

Location: San Antonio, TX

Posted Sep 01, 2025

Fabricate, repair, and maintain various tools, dies, and fixtures used in the manufacturing process. Collaborate with engineers and other team members to…

Machining - Chemical Process Operator 2nd shift

Company: Chromalloy Gas Turbine LLC

Location: San Antonio, TX

Posted Sep 01, 2025

Any offer of employment will also be conditioned upon the successful completion of a background investigation and drug screen in accordance with company policy…

EDM Machinist Toolmaker

Company: GENERAL ATOMICS

Location: Poway, CA

Posted Sep 01, 2025

Utilizes and interprets engineering drawings from sketches, graphic illustrations or verbal/written correspondence to plan sequence of operations.

Welder (3rd shift)

Company: BAE Systems

Location: San Diego, CA

Posted Sep 01, 2025

Able to use hand tools and power tools safely and efficiently. Our leave programs include paid time off, paid holidays, as well as other types of leave,…

ELECTRICIAN IV

Company: Brantner and Associates, Inc

Location: Redwood City, CA

Posted Sep 01, 2025

If TE determines that TE will require a license or will be prohibited by applicable laws from providing the candidate with items necessary for the performance…

Senior Cryptographic Public Key Infrastructure (PKI) Manager (Remote Eligible)

Company: Capital One

Location: San Jose, CA

Posted Sep 01, 2025

Maintain technical and risk credibility with your own team and with engineering partners across the enterprise. At least 6 years of experience in Cybersecurity.

Trust & Safety, Threat Analyst/Risk Advisor

Company: Apple

Location: Cupertino, CA

Posted Aug 31, 2025

In-depth analysis and understanding of the UX and technical design of the feature, with a desire to test comprehensively the different functionalities and…

Program Control Analyst, Staff

Company: Curtiss Wright

Location: Chula Vista, CA

Posted Sep 01, 2025

Under general supervision and on their own initiative, the Program Analyst (Staff) is the career progression in the Fleet Solutions PMO, developing skills and…

Associate Fashion Designer

Company: Rockstar Original

Location: Los Angeles, CA

Posted Aug 30, 2025

Working on re-color or sizing of graphics, and inputting information from technical designer and graphic designer into tech packs.

Frequently Asked Questions

What are typical salary ranges by seniority in Cutting‑Edge Solutions?
Entry‑level roles start at $90k–$120k. Mid‑level engineers earn $120k–$160k. Senior specialists command $160k–$210k, while technical leads and architects can reach $210k–$260k based on impact and market.
What skills and certifications are required for Cutting‑Edge Solutions roles?
Core skills include Python, PyTorch/TensorFlow, ONNX, Kubernetes, Helm, and Terraform. Certifications such as AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer, Microsoft Certified: Azure AI Engineer, Certified Kubernetes Administrator (CKA), Hyperledger Fabric Developer, and IBM Quantum Developer are highly valued.
Is remote work available in Cutting‑Edge Solutions positions?
Yes, most companies adopt a hybrid model: 3–5 remote days per week with optional on‑site collaboration. Full‑remote roles are common for software and data teams that rely on cloud platforms.
What career progression paths exist in Cutting‑Edge Solutions?
Typical progression: Junior Engineer → Mid‑Level Engineer → Senior Engineer → Technical Lead → Principal Engineer → Engineering Manager → VP of Engineering. Advanced specialists may become AI Ethics Lead or Quantum Architecture Lead.
What industry trends are shaping Cutting‑Edge Solutions?
Key trends include AI democratization through low‑latency edge inference, quantum‑accelerated machine learning, scalable blockchain protocols (e.g., Polkadot, Cosmos), 5G‑enabled IoT, hybrid cloud orchestration, and growing regulatory focus on data privacy and AI explainability.

Related Pages